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Taking Elasticsearch from
0 to 88 mph
By: Molly Struve
500 million documents
1 million processed daily
Over 3 billion documents
200 million processed daily
The average company has...
60 thousand
assets
24 million
vulnerabilities?
MySQL Elasticsearch
Refresh Interval
In-memory buffer
In-memory buffer
Toggle the Refresh Interval
curl -XPUT 'localhost:9200/my_index/_settings' -d '{
"index" : {
"refresh_interval" : "30s"
}
}'
In addition...
● ?refresh=wait_for option
● Manual refresh
○ curl -XPOST 'localhost:9200/my_index/_refresh'
Speed up Indexing
● Toggle the refresh interval1
2
3
Speed Up Searching
4
5
6
7
● 200 thousand assets
● 100 million
vulnerabilities
Bulk Processing
POST _bulk
When bulk processing your data...
● Start with batches of 100 and double the size from there until indexing time
plateaus
● Too large requests can put memory pressure on Elasticsearch so keep it under
a couple tens of megabytes
Bulk process data
Speed up Indexing
Toggle the refresh interval1
2
3
Speed Up Searching
4
5
6
7
MySQL
Elasticsearch
Elasticsearch
MySQL
429 Too Many Requests
Route Your Documents
8 Threads 4 Threads
Shard 2
Shard 3
Shard 4
4 Threads
4 Threads
Shard 1
Shard 2
Shard 3
Shard 4
Shard 1
Shard 1
Shard 2
Shard 2
2 Threads
2 Threads
Shard 1
Shard 3
Shard 4
Shard 4
Shard 3
Routing
shard = hash(_routing) % number_of_primary_shards
PUT my_index/_doc/1?routing=custom
{
"title": "This is a document"
}
document _id custom
4 Threads
2 Threads
2 Threads
Shard 1
Shard 2
Shard 2
Shard 1
Shard 3
Shard 4
Shard 4
Shard 3
Route 1
Route 2
Route 2
Route 1
Route 3
Route 4
Route 4
Route 3
Parent -> Child
Asset -> Vulnerabilities
PUT my_index/_vulnerability/1?parent=2
{
"title": "This is a document"
}
Route your documents
Bulk process data
Speed up Indexing
Toggle the refresh interval1
2
3
Speed Up Searching
4
5
6
7
Speed up Searching
Typical Logging Cluster
logstash_2018.09.01
logstash_2018.09.02
logstash_2018.09.03
logstash_2018.09.04
Search
Group Your Data
Client 1 Client 2 Client 3 Client 4
Speed Up Searching
Group your data
Route your documents
Bulk process data
Speed up Indexing
Toggle the refresh interval1
2
3
4
5
6
7
Does NOT score documents
and only cares if the
document matches the search
criteria or not
Queries
Scores documents based on
how well they match the
search criteria.
Filters
Easy/Fast Hard/Slow Easy/Fast Hard/Slow
2.x 5.x
Use Filters Whenever
Possible
Filters Are Friends!
Filters
GET /_search
{
"query": {
"bool" : {
"must" : {
"term" : { "user" : "kimchy" }
},
"filter": {
"term" : { "tag" : "tech" }
}
}
}
}
Use filters whenever possible
Speed Up Searching
Group your data
Route your documents
Bulk process data
Speed up Indexing
Toggle the refresh interval1
2
3
4
5
6
7
Store IDs as keywords
Why?
● Numeric mapping types are optimized for RANGE
queries
● Keyword mapping types are optimized for TERM
queries
30% increase in
search speed
Store IDs as keywords
Use filters whenever possible
Speed Up Searching
Group your data
Route your documents
Bulk process data
Speed up Indexing
Toggle the refresh interval1
2
3
4
5
6
7
Don’t let your users slow
you down
Define keywords for searching
Don’t let your users slow you down
Store IDs as keywords
Use filters whenever possible
Speed Up Searching
Group your data
Route your documents
Bulk process data
Speed up Indexing
Toggle the refresh interval1
2
3
4
5
6
7
Questions?
Contact
https://www.linkedin.com/in/mollystruve/
https://github.com/mstruve
@molly_struve
molly.struve@gmail.com

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